Explore Cohere’s RAG Toolkit

Cohere’s Retrieval Augmented Generation (RAG) toolkit enhances Large Language Models’ (LLMs) ability to use enterprise data for accurate answers and task solutions. The toolkit powers the creation of secure applications that can search, understand, and converse in text.

Cohere highlights the productivity gains of over 50% in white-collar tasks with today’s language models. The upcoming Intelligent Assistants will understand enterprise data, enabling employees to make decisions much faster.

Cohere offers sophisticated customization tools for superior model performance and cost-effective inference engines. Their models come with inference engines that deliver better runtime performance at a lower cost than open-source equivalents. The models are accessible through a SaaS API, cloud services, and private deployments. Importantly, customer data is not used in training base models, giving customers complete control over customization and model inputs/outputs.